Clinical Pharmacology, St George's University Hospitals NHS Foundation Trust, London, UK.
Clinical Pharmacology, Institute of Infection and Immunity, St George's, University of London, UK.
Br J Clin Pharmacol. 2020 Jul;86(7):1326-1335. doi: 10.1111/bcp.14243. Epub 2020 Mar 16.
Polypharmacy is widespread and associated with medication-related harms, including adverse drug reactions, medication errors and poor treatment adherence. General practitioners and pharmacists cite limited time and training to perform effective medication reviews for patients with complex polypharmacy, yet no specialist referral mechanism exists. To develop a structured framework for specialist review of primary care patients with complex polypharmacy.
We developed the clinical pharmacology structured review (CPSR) and stopping by indication tool (SBIT). We tested these in an age-sex stratified sample of 100 people with polypharmacy aged 65-84 years from the Clinical Practice Research Datalink, an anonymised primary care database. Simulated medication reviews based on electronic records using the CPSR and SBIT were performed. We recommended medication changes or review to optimise treatment benefits, reduce risk of harm or reduce treatment burden.
Recommendations were made for all patients, for almost half (4.8 ± 2.4) of existing medicines (9.8 ± 3.1), most commonly stopping a drug (1.7 ± 1.3/patient) or reviewing with the patient (1.4 ± 1.2/patient). At least 1 new medicine (0.7 ± 0.9) was recommended for 51% patients. Recommendations predominantly aimed to reduce harm (44%). There was no relationship between number of recommendations made and time since last primary care medication review. We identified a core set of clinical information and investigations (polypharmacy workup) that could inform a standard screen prior to specialist review.
The CPSR, SBIT and polypharmacy workup could form the basis of a specialist review for patients with complex polypharmacy. Further research is needed to test this approach in patients in general practice.
多种药物治疗广泛存在,并与药物相关的危害有关,包括药物不良反应、用药错误和治疗依从性差。全科医生和药剂师表示,由于时间和培训有限,无法为患有复杂多种药物治疗的患者进行有效的药物评估,但目前没有专门的转介机制。本研究旨在为患有复杂多种药物治疗的初级保健患者建立专门的药物评估结构框架。
我们开发了临床药理学结构化评估(CPSR)和基于适应证的停药工具(SBIT)。我们在来自临床实践研究数据链接(一个匿名的初级保健数据库)的年龄和性别分层的 100 名年龄在 65-84 岁的患有多种药物治疗的患者中测试了这两种方法。根据电子记录使用 CPSR 和 SBIT 进行了模拟药物评估。我们建议进行药物调整或审查,以优化治疗效果、降低伤害风险或减轻治疗负担。
所有患者都提出了建议,近一半(4.8 ± 2.4)的现有药物(9.8 ± 3.1)需要调整,最常见的是停止一种药物(1.7 ± 1.3/患者)或与患者一起审查(1.4 ± 1.2/患者)。至少有 1 种新药(0.7 ± 0.9)被推荐给 51%的患者。建议主要旨在减少伤害(44%)。提出的建议数量与上次初级保健药物评估之间没有关系。我们确定了一组核心临床信息和检查(多种药物治疗评估),可用于在专家评估之前进行标准筛查。
CPSR、SBIT 和多种药物治疗评估可作为复杂多种药物治疗患者的专家评估的基础。需要进一步的研究来在普通实践患者中测试这种方法。